Search results for "seokset"

showing 4 items of 14 documents

Self-Consistent Charge Density-Functional Tight-Binding Parametrization for Pt–Ru Alloys

2017

We present a self-consistent charge density-functional tight-binding (SCC-DFTB) parametrization for PtRu alloys, which is developed by employing a training set of alloy cluster energies and forces obtained from Kohn-Sham density-functional theory (DFT) calculations. Extensive simulations of a testing set of PtRu alloy nanoclusters show that this SCC-DFTB scheme is capable of capturing cluster formation energies with high accuracy relative to DFT calculations. The new SCC-DFTB parametrization is employed within a genetic algorithm to search for global minima of PtRu clusters in the range of 13-81 atoms and the emergence of Ru-core/Pt-shell structures at intermediate alloy compositions, consi…

platinaAlloy02 engineering and technologyengineering.material010402 general chemistry01 natural sciencesNanoclustersCondensed Matter::Materials ScienceTight bindingalloysPhysics::Atomic and Molecular ClustersCluster (physics)metalliseoksetplatinumPhysical and Theoretical Chemistryta116density functional theoryta114ChemistrytiheysfunktionaaliteoriaCharge densityCharge (physics)021001 nanoscience & nanotechnology0104 chemical sciencesMaxima and minimaClassical mechanicsChemical physicsengineeringnanohiukkasetnanoparticles0210 nano-technologyParametrizationThe Journal of Physical Chemistry A
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Predicting liquid–liquid phase separation in ternary organic–organic–water mixtures

2023

Liquid–liquid phase separation (LLPS) affects the water uptake of aerosol particles in the atmosphere through Kelvin and Raoult effects. This study investigates LLPS in ternary mixtures containing water and two organic compounds, using a conductor-like screening model for real solvents (COSMO-RS). COSMO-RS found LLPS in all of the studied mixtures containing water and proxies for primary and secondary organic aerosol (POA and SOA, respectively), due to the limited solubility of the hydrophobic POA proxies in water. The computations predict additional three-phase states in some of the SOA–POA–water mixtures at relative humidity (RH) close to 100%, which was not observed in experiments, likel…

aerosolitvesiGeneral Physics and AstronomyPhysical and Theoretical Chemistryseoksetorgaaniset yhdisteet
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Density functional theory description of random Cu-Au alloys

2019

Density functional alloy theory is used to accurately describe the three core effects controlling the thermodynamics of random Cu-Au alloys. These three core effects are exchange correlation (XC), local lattice relaxations (LLRs), and short-range order (SRO). Within the real-space grid-based projector augmented-wave (GPAW) method based on density functional theory (DFT), we adopt the quasinonuniform XC approximation (QNA), and take into account the LLR and the SRO effects. Our approach allows us to study the importance of all three core effects in a unified way within one DFT code. The results demonstrate the importance of the LLR term and show that going from the classical gradient level a…

Copper alloysfirst-principles calculationstiheysfunktionaaliteoriaDensity functional theoryThermodynamicsmetalliseoksetBinary alloyselectronic structureGold alloysLunar surface analysis
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Interactive data-driven multiobjective optimization of metallurgical properties of microalloyed steels using the DESDEO framework

2023

Solving real-life data-driven multiobjective optimization problems involves many complicated challenges. These challenges include preprocessing the data, modelling the objective functions, getting a meaningful formulation of the problem, and supporting decision makers to find preferred solutions in the existence of conflicting objective functions. In this paper, we tackle the problem of optimizing the composition of microalloyed steels to get good mechanical properties such as yield strength, percentage elongation, and Charpy energy. We formulate a problem with six objective functions based on data available and support two decision makers in finding a solution that satisfies them both. To …

metallurgiaopen-source softwareinteractive optimizationpäätöksentukijärjestelmätmonitavoiteoptimointidata-driven evolutionary computationmultiple decision makersfysikaaliset ominaisuudetavoin lähdekoodioptimointiArtificial IntelligenceControl and Systems Engineeringinteraktiivisuussurrogate-assisted optimizationmetalliseoksetElectrical and Electronic Engineeringmultiple criteria optimization
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